Staff Marketing Scientist - Measurement & AI Leadership

Snapchat, Inc.; Greater London; Presencial; GBP 110.000 - 160.000; Tempo integral

Benefícios oferecidos por esta vaga

Parental leave

Comprehensive medical coverage

Mental health support programs

Resumo da vaga

Snap Inc. is seeking a Staff Marketing Scientist to own measurement strategy and operations for Snap’s advertising analytics. You will drive learning agendas, experimental design, and causal analytics to improve ads efficacy across markets while collaborating with Marketing Science, Sales, Product, and Partnerships.

You will communicate complex analytics to executives, leverage AI tools for scalable solutions, and mentor teams while maintaining rigorous data integrity and governance.

Qualificações

• Bachelor’s degree in a relevant field or equivalent practical experience.
• 8+ years in advanced analytics and measurement; or Master’s with 7+ years; or PhD with 4+ years.
• Experience in marketing science, product strategy, advertising measurement within tech.

Responsabilidades

• Own measurement strategy, operations, goals and learning plans for Snap’s solutions.
• Drive performance via learning agenda, experiments, causal Analytics, and prototyping.
• Lead cross-functional collaboration to influence roadmaps without direct authority.
• Advise senior executives at 3P partners and agencies on measurement partnerships.
• Develop playbooks, meta-analyses, and benchmarks to scale learnings across markets.

Conhecimentos

Digital advertising measurement

Cross-functional leadership

SQL

Data visualization

Applied statistics

Causal inference

Time-series modeling

Experiment design

Communication to executives

AI tools in analytics

Formação

Bachelor’s degree in a quantitative or business field

Master’s in quantitative or business field

PhD in a quantitative or business field

Descrição da vaga

Snap Inc. is seeking a Staff Marketing Scientist to own measurement strategy and operations for Snap’s advertising analytics. You will drive learning agendas, experimental design, and causal analytics to improve ads efficacy across markets while collaborating with Marketing Science, Sales, Product, and Partnerships.

You will communicate complex analytics to executives, leverage AI tools for scalable solutions, and mentor teams while maintaining rigorous data integrity and governance.